thanks for this... I also created a summary of what I needed to make it work on windows for someone on the discord channel that was struggling - much. much easier to run on ubuntu..(!)

To create a windows local server using local GPU of https://huggingface.co/spaces/ASLP-lab/DiffRhythm

create a python 3.12.9 venv
==============================
download and install python 3.12.9 in default directory with add pip and add pythonpath options
it can be found at python https://www.python.org/downloads/windows/
open powershell
py -3.12 -m venv diff-gradio
python -m venv diff-gradio
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
diff-gradio\Scripts\activate
clone the hugging face repo
==============================
download and install git from https://git-scm.com/downloads/win
git lfs install
git clone https://huggingface.co/spaces/ASLP-lab/DiffRhythm
cd C:\Users\44741\DiffRhythm <--- need to change to your local path
dont install requirements.txt yet
install libraries for windows
================================
a) triton
python --version
download the right version of triton.whl from https://huggingface.co/madbuda/triton-windows-builds/tree/main
pip install C:\Users\44741\DiffRhythm\triton-3.0.0-cp312-cp312-win_amd64.whl <--- need to change to your local path
b) pytorch with cuda
pip uninstall torch
pip cache purge
nvidia-smi (to know your version of cuda)
go to https://pytorch.org/get-started/locally/ and get your pip install (but change pip3 in command to pip)
e.g. pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
c) requirements.txt
cd C:\Users\44741\DiffRhythm <--- need to change to your local path
pip install -r requirements.txt
d) cuda version of onnyxruntime
pip install onnxruntime-gpu
make the file alterations to the cloned repo so it works for windows
=======================================================================
Filename Folder
init.py diffrhythm\g2p\g2p
g2p.py diffrhythm\g2p\utils
g2p_generation.py diffrhythm\g2p
infer_utils.py diffrhythm\infer
app.py root

diffrhythm\g2p\g2p_init_.py, line 28
with open(vacab_path, "r", encoding="utf-8") as f:

diffrhythm\g2p\utils\g2p.py, line 63
with open("./diffrhythm/g2p/utils/mls_en.json", "r", encoding="utf-8") as f:

diffrhythm\g2p\g2p_generation.py, line 117
with open("./diffrhythm/g2p/g2p/vocab.json", "r", encoding="utf-8") as f:

diffrhythm\infer\infer_utils.py, line 105
with open('./diffrhythm/g2p/g2p/vocab.json', 'r', encoding='utf-8') as file:

app.py, comment out lines 12 and 33, add environmental variables after line 11
12 #import spaces
33 #@spaces.GPU(duration=20)
12 os.environ["PHONEMIZER_ESPEAK_PATH"] = r"C:\Program Files\eSpeak NG"
13 os.environ["PHONEMIZER_ESPEAK_LIBRARY"] = r"C:\Program Files\eSpeak NG\libespeak-ng.dll"